Waypoint Constrained Multi-Phase Optimal Guidance of Spacecraft for Soft Lunar Landing

Sachan, K and Padhi, R (2019) Waypoint Constrained Multi-Phase Optimal Guidance of Spacecraft for Soft Lunar Landing. In: Unmanned Systems, 7 (2). pp. 83-104.

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Abstract

A waypoint constrained multi-phase nonlinear optimal guidance scheme is presented in this paper for the soft landing of a spacecraft on the Lunar surface by using the recently developed computationally efficient Generalized Model Predictive Static Programming (G-MPSP). The proposed guidance ensures that the spacecraft passes through two waypoints, which is a strong requirement to facilitate proper landing site detection by the on-board camera for mission safety. Constraints that are required at the waypoints as well as at the terminal point include position, velocity, and attitude of the spacecraft. In addition to successfully meeting these hard constraints, the G-MPSP guidance also minimizes the fuel consumption, which is a very good advantage. An optimal final time selection procedure is also presented in this paper to facilitate minimization of fuel requirement to the best extent possible. Extensive simulation studies have been carried out with various perturbations to illustrate the effectiveness of the algorithm. Finally, processor-in-loop simulation has been carried out, which demonstrates the feasibility of on-board implementation of the proposed guidance.

Item Type:	Journal Article
Publication:	Unmanned Systems
Publisher:	World Scientific Publishing Co. Pte Ltd
Additional Information:	The copyright for this article belongs to World Scientific Publishing Co. Pte Ltd
Keywords:	Landing; Moon; Navigation; Spacecraft, Computationally efficient; Extensive simulations; Generalized models; Moon landing; Optimal guidance; Selection procedures; Soft lunar landings; Static programming, Lunar landing
Department/Centre:	Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited:	30 Nov 2022 09:24
Last Modified:	30 Nov 2022 09:24
URI:	https://eprints.iisc.ac.in/id/eprint/78347

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